Optimization of sonicboom and aerodynamic based on structured/unstructured hybrid grid

Xiaoqiang Feng, Zhanke Li, Bifeng Song, Jianhua Sang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

High fidelity sonic boom prediction method is developed based on near field CFD method and far field waveform parameter method. The structured/unstructured hybrid grid is set up to use both advantages for more accurate and efficient sonic boom prediction. And then the optimization method is constructed by coupling high fidelity sonic boom prediction method, response surface model and Pareto genetic algorithm. It can be found that nacelle has significant influence in sonic boom level and aerodynamic performance. The location of nacelle is optimized by using the sonic boom and aerodynamic optimization method. The design results indicate that response surface model can satisfy the requirement of precision. Three optimized layouts are chosen by different preferences in Pareto front. Through optimization, the sonic boom level and aerodynamic performance are improved.

Original languageEnglish
Pages (from-to)30-37
Number of pages8
JournalKongqi Donglixue Xuebao/Acta Aerodynamica Sinica
Volume32
Issue number1
DOIs
StatePublished - Feb 2014

Keywords

  • Genetic algorithm
  • Optimum design
  • Shock wave
  • Sonic boom
  • Supersonic aircraft

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